Malik, Jitendra and Perona, Pietro (1990) Finding Boundaries in Images. In: Twenty-Fourth Asilomar Conference on Signals, Systems and Computers. Maple Press , San Jose, CA, pp. 800-804. ISBN 0-8186-2180-X http://resolver.caltech.edu/CaltechAUTHORS:20120509-131143659
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In computational vision, finding the boundaries of the regions in a image which correspond to different surfaces in the scene is usually approached as a problem of detecting brightness edges. In this paper, we argue that this is a limited view. Boundaries in images could be associated with differences on a number of visual attributes-brightness, color, texture, stereoscopic disparity and motion-all of which are utilized in human vision. Machine vision systems should do the same. We argue that convolution of the image with a bank of Gaussian derivative filters is a suitable common first stage for this task. We also present some new results on the problem of detecting and localizing brightness edges composed of step, peak and roof profiles.
|Item Type:||Book Section|
|Additional Information:||© 1990 Maple Press. Date of Current Version: 06 August 2002. This research was supported by NSF Presidential Young Investigator Award No. IRI-8957274 to J. Malik. P. Perona conducted part of this research while at the International Computer Science Institute, Berkeley.|
|Official Citation:||Malik, J.; Perona, P.; , "Finding Boundaries in Images," Signals, Systems and Computers, 1990 Conference Record Twenty-Fourth Asilomar Conference on , vol.2, no., pp.800, 5-7 Nov 1990 doi: 10.1109/ACSSC.1990.523449 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=523449&isnumber=11472|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||09 May 2012 22:18|
|Last Modified:||26 Dec 2012 15:10|
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